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Nested Arrays JSON to Excel Repair Tool

Nested arrays breaking your export? Flatten them into clean Excel rows instantly.

  • 100% in your browser — nothing uploaded
  • No sign-up, no email
  • Handles 100 MB+ files
  • Open source
raw_data.json
Input: Nested JSON
{
  "orders": [
    {
      "id": "ORD-001",
      "customer": {
        "name": "Alex Chen",
        "email": "[email protected]"
      },
      "items": ["Laptop", "Mouse"],
      "total": 1299.99
    },
    {
      "id": "ORD-002",
      "customer": {
        "name": "Sarah Jones",
        "email": "[email protected]"
      },
      "items": ["Monitor"],
      "total": 349.50
    }
  ]
}
Flattening Nested Objects...
Output: Clean Table
4 Columns Found
IDCustomer NameItemsTotal
ORD-001Alex ChenLaptop, Mouse$1,299.99
ORD-002Sarah JonesMonitor$349.50
Done (0.02s)
No Data Upload
GDPR/HIPAA Compliant
Instant Processing
Free to Use
10,000+
Files Converted
500+
Business Analysts
100%
Private & Secure
1

Trusted by Ops Professionals

Join thousands of ops, support, and admin professionals who trust JsonExport for secure, fast JSON to Excel conversions

Saves 3 hours weekly

“I used to spend 3+ hours every week converting HubSpot JSON exports to Excel for my manager. JsonExport cut that down to 5 minutes. The auto-unescape feature handles our double-encoded data flawlessly.”

SK

Sarah K.

RevOps Manager at Fortune 500 Retail Company

HIPAA compliant

“Privacy was my #1 concern. Other tools required uploading patient data to their servers. JsonExport processes everything client-side, which means we're HIPAA compliant. Absolute game-changer for our team.”

MR

Michael R.

Salesforce Admin at Healthcare Analytics (2,500+ employees)

Auto-unescape magic

“Google Analytics JSON exports used to be a hassle to convert. Other tools either crash or require uploads to their servers. JsonExport's auto-unescape handles our double-encoded data flawlessly. Plus it's completely free!”

JT

Jennifer T.

Marketing Ops Manager at SaaS Startup

No coding required

“Converting Shopify order JSONs with nested line items used to be a nightmare. JsonExport's nested view makes it easy to see relationships, then export to flat Excel for reporting. No Python skills needed.”

DL

David L.

E-commerce Operations Lead at Mid-size Retail (500+ stores)

30 min → 2 min

“We pull Stripe transaction data daily. The timestamp conversion and metadata flattening features save me from writing custom scripts. What used to take 30 minutes now takes 2.”

RM

Rachel M.

Financial Administrator at Fintech Company

Frequently Asked Questions

Everything you need to know about converting JSON to Excel

Absolutely safe! JsonExport processes everything in your browser using JavaScript. Your data never leaves your computer - no uploads, no servers, 100% private.

Quick Answer

Paste complex JSON with nested arrays and objects into the converter. We flatten it into analysis-ready rows and columns locally in your browser, so no data is uploaded.

Why use Nested Arrays JSON to Excel Repair Tool?

Many JSON exports break in spreadsheets because arrays and nested objects cannot be represented in a single cell. This tool flattens deep structures into usable Excel rows while preserving important parent fields.

Native Support

Specifically tuned to handle the quirks and nested structures of Generic JSON JSON data.

Fixes `[object Object]` and nested array columns
Automatically unwinds array-of-object structures into rows
Keeps parent-child context for reporting
100% client-side processing for privacy
GJLive Transformation Architecture

How JsonExport Flattens Generic JSON Data

Trello Board Export with cards, lists, checklists, custom fields, and power-up plugins. Nested objects and complex arrays are unpacked into clean spreadsheet columns automatically.

Before: Raw Generic JSON Nested JSON
{
  "id": "64f1a2b3c4d5e6f7a8b9c0d1",
  "name": "Product Sprint 2026",
  "desc": "Q3 Engineering & Design Sprint",
  "closed": false,
  "lists": [
    {
      "id": "list_01",
      "name": "In Progress",
      "closed": false,
      "pos": 1
    },
    {
      "id": "list_02",
      "name": "Ready for QA",
      "closed": false,
      "pos": 2
    },
    {
      "id": "list_03",
      "name": "Done",
      "closed": false,
      "pos": 3
    }
  ],
  "customFields": [
    {
      "id": "cf_tier",
      "name": "Client Tier",
      "type": "list",
      "options": [
        {
          "id": "opt_ent",
          "value": {
            "text": "Enterprise"
          }
        },
        {
          "id": "opt_std",
          "value": {
            "text": "Standard"
          }
        }
      ]
    }
  ],
  "cards": [
    {
      "id": "card_101",
      "name": "Implement D1 SQLite Telemetry Worker",
      "desc": "Zero-cost telemetry endpoint for conversion stats",
      "idList": "list_01",
      "listName": "In Progress",
      "due": "2026-08-30T17:00:00.000Z",
      "dueComplete": false,
      "labels": [
        {
          "id": "lbl_1",
          "name": "Backend",
          "color": "blue"
        },
        {
          "id": "lbl_2",
          "name": "Priority",
          "color": "red"
        }
      ],
      "checklists": [
        {
          "id": "chk_1",
          "name": "Tasks",
          "checkItems": [
            {
              "id": "item_1",
              "name": "Create schema.sql",
              "state": "complete"
            },
            {
              "id": "item_2",
              "name": "Wrangler binding",
              "state": "complete"
            },
            {
              "id": "item_3",
              "name": "CLI pull script",
              "state": "incomplete"
            }
          ]
        }
      ],
      "members": [
        {
          "id": "mem_1",
          "fullName": "Alex Developer",
          "username": "alexdev"
        }
      ],
      "customFieldItems": [
        {
          "idCustomField": "cf_tier",
          "idValue": "opt_ent"
        }
      ],
      "pluginData": [
        {
          "id": "pd_01",
          "idPlugin": "github_sync",
          "scope": "card",
          "value": "{\"prNumber\":42,\"branch\":\"feature/telemetry\"}"
        }
      ]
    },
    {
      "id": "card_102",
      "name": "Design Platform Visual Transform Assets",
      "desc": "Authentic before/after SVG graphics for all converters",
      "idList": "list_02",
      "listName": "Ready for QA",
      "due": "2026-08-29T12:00:00.000Z",
      "dueComplete": true,
      "labels": [
        {
          "id": "lbl_3",
          "name": "Design",
          "color": "purple"
        }
      ],
      "checklists": [],
      "members": [
        {
          "id": "mem_2",
          "fullName": "Jordan UI",
          "username": "jordan_ui"
        }
      ]
    }
  ]
}
After: Flattened Excel (.xlsx) Columns
Clean Dot-Notation Columns
assignedMembersattachments.countboardNamechecklistItemschecklistProgresschecklistsSummary
Alex Developer0Product Sprint 2026[x] Create schema.sql [x] Wrangler binding [ ] CLI pull script2/3Tasks (2/3)
Jordan UI0Product Sprint 2026
Zero [object Object] errors

Specific Questions

Can this handle mixed nested arrays and objects?

Yes. The parser flattens nested object paths and intelligently expands array structures so they become usable in Excel.

Will my data be uploaded?

No. Conversion happens in your browser, and your JSON never leaves your device.

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